Researcher, Training
San Francisco · 全职 · 算法与研究
需要对标的能力
大模型原理 · LLM 基础Agent · 智能体设计AI Infra · 推理部署评测 · Eval 方法论AI 产品设计 · 产品化
岗位职责与要求
About the Team
OpenAI's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture, datasets and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect. Recent examples of artifacts with major contributions from our team include GPT4-Turbo, GPT-4o and o1-mini.
About the Role
As a member of the architecture team, you will push the frontier of architecture development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities.
Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck.
This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
- Design, prototype and scale up new architectures to improve model intelligence
- Execute and analyze experiments autonomously and collaboratively
- Study, debug, and optimize both model performance and computational performance
- Contribute to training and inference infrastructure
You might thrive in this role if you:
- Have experience landing contributions to major LLM training runs
- Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion
- Are motivated by safely deploying LLMs in the real world
- Are well-versed in the state of the art transformer modifications for efficiency
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
查看中文参考译文
关于团队
OpenAI 的 Training 团队负责生产支撑我们研究、产品的大型语言模型,并最终帮助我们更接近 AGI。实现这一目标需要结合深入研究以改进我们当前的架构、数据集和优化技术,同时下注长期赌注以提高未来几代模型的效率和能力。我们负责整合这些技术并生产公司其他部门使用的模型产物,并确保这些模型在各个方面都达到世界一流水平。我们团队做出重大贡献的近期产物包括 GPT4-Turbo、GPT-4o 和 o1-mini。
关于职位
作为架构团队的一员,你将推动 OpenAI 旗舰模型架构开发的前沿,提升智能水平、效率并增加新能力。
理想候选人对 LLM 架构有深入理解,对模型 inference 有精深的理解,并具备实践性的实证方法。适合此角色的人会同样乐于提出创造性突破、投入强化 baseline、设计 eval、调试棘手的 regression,或追踪瓶颈。
此职位位于 San Francisco。我们采用每周 3 天到办公室的混合办公模式,并为新员工提供 relocation 协助。
在此职位中,你将:
- 设计、原型化并扩展新架构以提升模型智能
- 自主且协作地执行和分析实验
- 研究、调试并优化模型性能和计算性能
- 为 training 和 inference 基础设施做出贡献
如果你具备以下条件,你可能在此角色中表现出色:
- 有在主要 LLM training runs 中落地贡献的经验
- 能够以自主方式全面评估和改进深度学习架构
- 受到在现实世界中安全部署 LLM 的激励
- 精通用于效率的 transformer 改进前沿技术
如需通知 OpenAI 你认为此职位发布不合规,请通过此表单提交报告 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA。与职位发布合规性无关的询问将不予回复。
在 OpenAI,我们相信人工智能有潜力帮助人们解决巨大的全球挑战,我们希望 AI 的益处能够被广泛分享。加入我们,共同塑造技术的未来。
译文仅供辅助阅读,具体要求以原始招聘来源为准。